AI learns from people. The question is which people.
The most capable AI models aren’t finished when they are trained on text. They are refined by people who review their answers, explain what went wrong and show what a good answer looks like. That human feedback is what turns a model that sounds confident into one that is actually right.
For most everyday topics, a generalist reviewer can catch the errors. Government is different. A response about acquisition strategy, a grant eligibility rule or an agency’s records obligations can read perfectly well and still be wrong in ways only someone who has done the work would notice.
We teach AI the judgment government can’t afford to get wrong.
Why getting AI right in government matters
AI tools are moving into agencies, contractors and the offices that serve the public. When they get government work wrong, the cost isn’t a bad product recommendation. It lands on real people and real programs.
The public
Real people
A wrong answer about eligibility or a deadline can cost a resident benefits or a small business a contract.
Compliance
Precise rules
Regulations, clauses and procedures are precise. Close enough is still noncompliant.
Trust
Public confidence
Public confidence in AI-assisted government depends on tools that get the fundamentals right the first time.
The fix is not less AI. It is better-trained AI, shaped by people who know how government actually works: the acquisition specialist who has written hundreds of statements of work, the policy analyst who knows where a rule’s exceptions live, the program manager who has seen what happens when a process is followed by the letter but not the intent.
What expert training work looks like
Experts work in small, verified teams called expert cells, drawing on professional judgment rather than any agency’s internal information. Typical tasks include:
- 01
Review and correct AI answers
Read how a model answered a question about, for example, choosing a contract type, and mark where its reasoning holds up or falls apart.
- 02
Compare and rank responses
Choose which of several answers a seasoned practitioner would actually give, and explain why.
- 03
Write realistic scenarios
Draft the kinds of questions and situations that come up in procurement, policy, IT and program work, along with model answers.
- 04
Build evaluation rubrics
Help define what “good” looks like in your field so AI can be tested against the standard professionals hold themselves to.
What we never ask for
No classified information, controlled unclassified information or non-public agency information. The work draws on what you know how to do, not on what your office holds. Current employees confirm eligibility with their ethics office before paid work begins.
Why experts find this work rewarding
Government professionals tell us the appeal isn’t only the paycheck. It’s the chance to put years of hard-won judgment to work on something with reach far beyond a single office.
Shape the tools you’ll use
The AI arriving in public-sector work will be better because people like you trained it. You help decide what it gets right.
Free people for strategic work
Well-trained AI takes on routine lookups and first drafts, so public servants can spend more time on the decisions that need a human.
Get paid for your expertise
Flexible, paid engagements that value professional judgment, on a schedule that fits around your primary role.
Work alongside verified peers
Expert cells are built from professionals whose credentials and work history our team has reviewed, so you work with people whose experience you can trust.
Whether you’re a current Federal, State or Local employee, a contractor, or someone who has stepped away from public service, your experience is exactly what AI is missing.